AI Solutions Architect for Utilities & LLM Apps

Accenture; Boston (MA); On-site; USD 63,800 - 189,300; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture in Boston is seeking an AI Engineer who builds and integrates AI applications using leading providers like OpenAI and cloud platforms. You will implement RAG, prompt orchestration, evaluation, and guardrails while deploying AI workloads on scalable, secure infrastructure.

You will work with Python, API integration, vector databases, LangChain, and orchestration tools to deliver production-ready solutions, applying DevOps with Docker/Kubernetes, CI/CD, and cloud security across the AI

Qualifications

• Minimum of 3 years of experience in software or AI/ML engineering.
• Minimum of 2 years of hands-on experience building AI applications with model providers (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Google Vertex AI).
• Minimum of 2 years of experience with Python and API integration.
• Minimum of 2 years of experience with RAG, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
• Minimum of 1 year of experience with containerization (Docker/Kubernetes), CI/CD, and cloud security.
• Minimum of 1 year of experience serving utilities clients or related finance/regulatory function.
• Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience.

Responsibilities

• Build AI applications — develop and integrate AI applications using leading model providers (OpenAI, Anthropic) and cloud platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI).
• Implement LLM patterns — implement RAG, prompt orchestration, evaluation, and guardrails in LLM-powered applications, APIs, and pipelines.
• Deploy AI workloads — deploy and operationalize AI workloads on cloud infrastructure with scalability, security, cost efficiency, and reliability in mind.
• Engineer with modern tooling — use Python, API integration, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to build production-ready solutions.
• Apply DevOps practices — apply containerization (Docker/Kubernetes), CI/CD, and cloud security best practices across the AI delivery lifecycle.

Education

Bachelor's degree or equivalent (minimum 12 years' work experience)

Tools

Python

OpenAI

Anthropic

AWS Bedrock

Azure OpenAI

Google Vertex AI

LangChain

LlamaIndex

Docker

Kubernetes

API integration

Job description

Accenture in Boston is seeking an AI Engineer who builds and integrates AI applications using leading providers like OpenAI and cloud platforms. You will implement RAG, prompt orchestration, evaluation, and guardrails while deploying AI workloads on scalable, secure infrastructure.

You will work with Python, API integration, vector databases, LangChain, and orchestration tools to deliver production-ready solutions, applying DevOps with Docker/Kubernetes, CI/CD, and cloud security across the AI